Learn Six Sigma: Engineering

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The app is a complete handbook of Six Sigma with diagrams and graphs. It is part of engineering education which brings important topics, notes, news & blog on the subject. Download the App as quick reference guide & ebook on this engineering subject.

It covers more than 140 topics of Six sigma. The topics are divided in 4 chapters.

The App is a free Handbook of notes on Six Sigma. You can consider this as teachers notes which is broken down into topics and subtopics for faster learning.

Some of topics Covered in this application are:

1. SIX SIGMA INTRODUCTION

2. SIX SIGMA DEFINITION

3. THE SIX SIGMA MOVEMENT

4. ROLE OF SIX-SIGMA

5. THE DESIGN FOR SIX-SIGMA

6. HISTOGRAMS IN SIX-SIGMA

7. HISTOGRAMS IN SIX-SIGMA

8. SOME OTHER HISTOGRAMS IN SIX-SIGMA

9. STATISTICAL INTERPRETATION OF SIX-SIGMA

10. PROJECT IMPLEMENTATION

11. SIX SIGMA-SIGMA VALUES

12. PURPOSE OF SIX-SIGMA

13. HISTORY OF SIX SIGMA

14. TOYOTA MANAGEMENT IN SIX-SIGMA

15. LEAN PRODUCTION

16. HISTORY OF DOCUMENTATION

17. HISTORY OF STATISCS AND QUALITY

18. THE CULTURE OF DISCIPLINE

19. QUALITY CONTROL AND SIX SIGMA

20. QUALITY FUNCTION DEVELOPMENT

21. ORGANIZATIONAL ROLES AND METHODS

22. STANDARD OPERATING PROCEDURE

23. ADVANCED STATISTICAL QUALITY CONTROL

24. SQC CASE STUDIES PRINTED CIRCUIT BOARD

25. STATISTICAL QUALITY CONTROL THEORY

26. PROBABILITY THEORY

27. DEFECTS PER MILLION OPPORTUNITIES

28. THE CENTRAL LIMIT THEOREM

29. DISCRETE RANDOM VARIABLES

30. XBAR CHARTS AND AVERAGE RUN LENGTH

31. OC CURVES AND AVERAGE SAMPLE NUMBER

32. DMAIC

33. LEAN SIX SIGMA METRICS

34. LEAN SIX-SIGMA APPROACH

35. LEAN SIX-SIGMA HISTORY

36. LEAN MANUFACTURING

37. LEAN MANUFACTURING WASTE

38. BENEFITS OF LSS

39. TYPES OF LAYOUT OF LSS

40. GROUP TECHNOLOGY

41. TOTAL PRODUCTIVE MAINTENANCE

42. KAIZEN

43. STAGES OF KAIZEN

44. MEASUREMENT SYSTEM ANALYSIS

45. REQUIREMENT OF MSA SYSTEM

46. REPEATEBILITY AND REPRODUCIBILITY

47. ANALYSIS OF VARIANCE METHOD

48. MEASURE PHASE AND STATISTICAL CHARTING

49. STATISTICAL CHARTING

50. GAUGE R AND R

51. STATISTICAL CHART SELECTION

52. P-CHARTING

53. P-CHARTING

54. DEMERIT CHARTING AND U-CHARTING

55. X-BAR AND R-CHARTING

56. ANALYZE PHASE

57. ANALYZE PHASE

58. THE TOYOTA PRODUCTION SYSTEM

59. CAUSES AND EFFECT MATRICES

60. DOE AND REGRESSION

61. PHAESES AND STRATEGY

62. PROJECT CHARTER

63. SNAB TAB PROJECT CHARTER

64. PHASES DIFINING METHODS

65. FORMAL MEETINGS

66. SIGNIFICANT FIGURES

67. THE LAW OF UNCOSCIOUS STATISTICIAN

68. PROCESS CAPABILITY INDICES

69. DESIGN PHASE

70. QUALITY FUNCTION DEVELOPMENT

71. CONTROL OR VERIFY PHASE

72. CONTROL PLANNING

73. ACCEPTANCE SAMPLING

74. DESIGN OF EXPERIMENTS (DOE) AND REGRESSION

75. DOE: SCREENING USING FRACTIONAL FACTORIALS

76. ORIGINS OF THE ARRAYS

77. TIME EXPERIMENTATION

78. DOE: RESPONSE SURFACE METHODS

79. SEQUENTIAL RESPONSE SURFACE METHODS

80. DOE: ROBUST DESIGN

81. REGRESSION

82. THE LEAST SQUARE FORMULA

83. DOE THEORY

84. VARIANCE INFLATION FACTORS AND CORRELATION MATRICES

85. REGRESSION NUMERICALS

86. STATISTICS IN SIX SIGMA

87. AOV BY MULTIPLE T-TESTS

88. NORMAL PROBABILITY PLOTS

89. REGRESSION MODELING FLOWCHART

90. ADVANCED REGRESSION AND ALTERNATIVES

91. KRIGING MODELS

92. NEURAL NETS FOR REGRESSION

93. FITTING LOGIT MODELS

94. LOGISTIC REGRESSION AND DISCRETE CHOICE MODELS

95. CASE STUDY: THE RUBBER MACHINE

96. SYSTEM BOUNDARIES

97. LOW COST RESPONSE SURFACE METHOD

98. PROBABILISTIC MODELS INTRODUCTION

99. DISCRETE PROBABILITY SPACES

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